Machine Learning SoC Architect
Company: Meta Inc
Location: Topeka
Posted on: April 23, 2024
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Job Description:
Summary:
Meta is seeking a Machine Learning SoC Architect to join its
silicon team within the Infrastructure organization which is
responsible for designing and operating all of Meta's Data Centers.
These Data Centers are the foundation upon which our rapidly
scaling business operates, and upon which all of our services such
as Facebook, Instagram, Messenger, WhatsApp etc. are delivered to
our worldwide user base consisting of approximately half of the
world's population.This silicon team is responsible for building
hardware accelerators for Data Center servers, to offload the most
computationally demanding workloads and execute them with higher
performance and lower energy consumption as compared to running
them on the CPU/GPU of the server. This is a architect role in
which you will be defining the architecture of the next generation
of Machine Learning ASICs being built on the most modern process
technologies and featuring industry leading performance and feature
sets.
Required Skills:
Machine Learning SoC Architect Responsibilities:
Work on algorithm analysis, performance analysis and architecture
definition of Machine Learning ASICs.
Map Data Center workloads to heterogeneous ASICs that contain
multiple different programmable processors and hardware
accelerators. Perform detailed calculations to specify computation
throughput, memory bandwidth and latency
evaluate performance v/s area v/s power tradeoffs.
Drive the architecture definition of one or more of the following
ASIC sub-systems: compute, memory, Network-On-Chip (NoC),
collectives, debug etc. and chiplet based multi-die SoCs.
Identify appropriate workloads and micro-benchmarks to be used for
performance analysis and drive this analysis on simulation and
emulation platforms to define and validate the architecture.
Evangelize your innovative architectural solutions with your peers
and leadership, while mentoring members of the architecture
team.
Collaborate with cross functional teams working on RTL design,
Design Verification, Firmware/Software development, Pre-Post
silicon validation and Program Management to deliver first pass
functional silicon on an aggressive schedule.
Collaborate with software and firmware teams to ensure that the
ASIC meets end to end application performance goals while
maintaining ease and efficiency of software development.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering,
relevant technical field, or equivalent practical experience.
Experience and knowledge of Computer Architecture concepts such as
microprocessor architecture, memory systems, on-chip
interconnection networks, hardware/software partitioning etc.
20+ years of prior experience in defining and delivering multiple
high performance ASICs into production, with focus on architecture
definition and performance analysis.
Preferred Qualifications:
Preferred Qualifications:
Master's or PhD degree in Electrical Engineering, Computer
Engineering or related field.
Domain knowledge in one or more of power/performance tradeoffs,
digital signal processing, ML networks, ML frameworks such as
Pytorch.
Programming in C or C++ with knowledge of mapping hardware
algorithms to efficient C/C++ code.
Public Compensation:
$212,000/year to $291,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative
Action employer. We do not discriminate based upon race, religion,
color, national origin, sex (including pregnancy, childbirth, or
related medical conditions), sexual orientation, gender, gender
identity, gender expression, transgender status, sexual
stereotypes, age, status as a protected veteran, status as an
individual with a disability, or other applicable legally protected
characteristics. We also consider qualified applicants with
criminal histories, consistent with applicable federal, state and
local law. Meta participates in the E-Verify program in certain
locations, as required by law. Please note that Meta may leverage
artificial intelligence and machine learning technologies in
connection with applications for employment.
Meta is committed to providing reasonable accommodations for
candidates with disabilities in our recruiting process. If you need
any assistance or accommodations due to a disability, please let us
know at accommodations-ext@fb.com.
Keywords: Meta Inc, Manhattan , Machine Learning SoC Architect, Professions , Topeka, Kansas
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